Shape Classification on ScanObjectNN OBJ_ONLY (test)
89.7Overall AccuracyPointWOLF
Evaluation results
| Method | Links | |
|---|---|---|
| PointWOLFBackbone=PointNet++2021.10 | 89.7 | |
| MaskPoint2026.06 | 89.7 | |
| PointWOLFBackbone=DGCNN2021.10 | 88.8 | |
| PointMixupBackbone=PointNet++2021.10 | 88.5 | |
| PointERpre-training=Point-MAE2026.06 | 88.49 | |
| PointMamba2026.06 | 88.47 | |
| Point-MAE2026.06 | 88.29 | |
| Point-BERT2026.06 | 88.12 | |
| CDABackbone=PointNet++2021.10 | 86.6 | |
| PointERmode=Sup.2026.06 | 86.41 | |
| DGCNN2026.06 | 86.2 | |
| CDABackbone=DGCNN2021.10 | 85.7 | |
| Transformer+OcCo2026.06 | 85.54 | |
| PointAugmentBackbone=PointNet++2021.10 | 85.4 | |
| PointNet++2026.06 | 84.3 | |
| PointAugmentBackbone=DGCNN2021.10 | 83.1 | |
| Transformer2026.06 | 80.55 | |
| PointNet2026.06 | 79.2 | |
| PointWOLFBackbone=PointNet2021.10 | 78.7 | |
| CDABackbone=PointNet2021.10 | 76.1 | |
| PointAugmentBackbone=PointNet2021.10 | 74.4 |